While customers will be able to customize their cameras, Deep Sentinel’s hardware will be pre-trained before delivery. Moreover, the cameras have been designed to work together so analysis only has to be done in the portions of a video feed where a threat is occurring or likely to occur. By optimizing to reduce the computational load of Deep Sentinel’s deep learning models, Selinger and his team have been able to do most of their processing locally. This is why Selinger is focused on using his technology to address core customer concerns like privacy and cost. You wouldn’t put a Qualcomm Snapdragon on a Nokia 3310 and expect it to compete with an iPhone. Using deep learning as a sales tactic is a waste of everyone’s time. But technology doesn’t sell, products do. Selinger is entering a crowded market - Camio’s smart video monitor, Hikvision’s Intel Movidius-powered cameras, Netatmo’s Presence and many others deliver some degree of intelligence to the camera, but the key to Deep Sentinel is its comprehensiveness and user experience.Īny developer with a Saturday to kill can build a rudimentary object classifier with a neural network and any startup with a few million can buy its way to a fairly solid machine intelligence product. Meeting David Selinger, founder of Deep Sentinel over tea in the historic Palace Hotel in San Francisco. The company actually considered using drones for deterrence, though Selinger now believes the technology is still too nascent. This could include appropriately applied warnings or lights. Selinger was clear in articulating that Deep Sentinel is not simply a monitoring solution, it’s designed to respond and ultimately deter criminals. The system is designed to consume video streams and other contextual information to analyze threats facing a home. This is the same technology that automakers are using for self-driving cars and companies like Facebook use to identify people and objects within your photos.ĭeep Sentinel wasn’t able to show us its hardware because it’s still in development, but I’d imagine it looks exactly like any other home security camera. Cameras themselves are largely commoditized, so the value that the company delivers will come from its software. To do this, the company is producing a series of cameras powered by deep learning that can evaluate threats on a property. This shift in behavior necessitates a shift in the services provided by home security companies.īut legacy players like ADT, founded in 1874, haven’t kept up with the times. Selinger is confident he can both expand the market and steal market share by moving the security line to the perimeter of a property rather than the perimeter of a home. Without ever entering a home, burglars can cost homeowners thousands by simply nabbing an Amazon delivery resting on a front porch. Over tea in the historic Palace Hotel in San Francisco, Selinger laid out the philosophy behind his latest company. Selinger believes that the nature of property crimes has changed. Founded by serial entrepreneur David Selinger, Deep Sentinel is betting that its emphasis on user experience can provide needed differentiation in the crowded space. Deep Sentinel, a home security startup, today announced that it had closed a $7.4 million Series A led by Shasta Ventures with participation from Bezos Expeditions, Lux Capital and UP2398.
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